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#########################################################################
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
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# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#########################################################################
# FLIP: A Difference Evaluator for Alternating Images
# High Performance Graphics, 2020.
# by Pontus Andersson, Jim Nilsson, Tomas Akenine-Moller, Magnus Oskarsson, Kalle Astrom, and Mark D. Fairchild
#
# Pointer to our paper: https://research.nvidia.com/publication/2020-07_FLIP
# code by Pontus Andersson, Jim Nilsson, and Tomas Akenine-Moller
import numpy as np
from flip import compute_flip
from utils import *
if __name__ == '__main__':
# Set viewing conditions
monitor_distance = 0.7
monitor_width = 0.7
monitor_resolution_x = 3840
# Compute number of pixels per degree of visual angle
pixels_per_degree = monitor_distance * (monitor_resolution_x / monitor_width) * (np.pi / 180)
# Load sRGB images
reference = load_image_array('../images/reference.png')
test = load_image_array('../images/test.png')
# Compute FLIP map
deltaE = compute_flip(reference, test, pixels_per_degree)
# Save error map
index_map = np.floor(255.0 * deltaE.squeeze(0))
use_color_map = True
if use_color_map:
result = CHWtoHWC(index2color(index_map, get_magma_map()))
else:
result = index_map / 255.0
save_image("../images/flip.png", result)
print("Done")